What is the High-Low Points Method used for?
It can be used to estimate and segregate fixed costs from variable costs when only total historical costs are available.
The High-Low Points Method uses the highest and lowest observed activity levels of the cost driver within the relevant range and the costs associated with those values to estimate the breakdown between fixed and variable costs.
How can estimated fixed and variable costs be segregated when only total costs are available, using the High-Low Points Method?
Use the highest and lowest observed activity levels of the cost driver within the relevant range and the costs associated with those values to estimate the breakdown between fixed and variable costs.
When the estimated total fixed costs and the estimated variable cost per unit of the cost driver are known, what is the formula for the cost function that can be used to calculate total costs at any activity level?
ŷ = a + bx
Where:
ŷ = the predicted total cost
a = estimated fixed cost
b = estimated variable cost per unit
x = activity level, or number of units of the activity
What does the symbol ŷ represent in the cost function
ŷ = a + bx?
ŷ represents the predicted total costs at a given activity level
where:
a = estimated fixed cost
b = estimated variable cost per unit
x = activity level, or number of units of the activity
What are the assumptions of simple linear regression analysis?
What does the coefficient of correlation of a regression analysis indicate?
The coefficient of correlation is used to evaluate the strength of the relationship between the independent variable and the dependent variable in a regression.
The correlation coefficient expresses how closely related, or correlated, the two variables are, indicating the tendency for the two variables to change together in either the same direction or the opposite direction.
What does a correlation coefficient of +1 indicate about a regression?
It indicates a perfect positive (upsloping) linear relationship between each value for x and its corresponding value for y.
What is the coefficient of determination of a regression analysis and what does it indicate?
The coefficient of determination is used to evaluate the strength of the relationship between the independent variable and the dependent variable.
The coefficient of determination is the square of the coefficient of correlation, and it indicates the percentage of the total variation in the dependent variable that can be explained by variations in the independent variable.
What is the purpose of regression analysis in estimating costs?
Linear regression is a statistical approach that can be used to model the relationship between one or more independent variables and a dependent variable, based on historical data points.
It can be used to estimate the breakdown between fixed and variable costs when only total historical costs are available.
What does the constant coefficient in a regression output represent?
The fixed cost or the y-intercept.
What does the variable coefficient in a regression output represent?
The variable cost per unit or the x variable.
What is a budget variance report?
It compares actual items (revenues, expenses, or units) with budgeted amounts for the same period.
Variance reports are used to identify favorable or unfavorable variances, which can indicate performance relative to the budget.
What are the major steps in the control loop for budgeting?
What is the purpose of variance analysis in budgeting?
It shows management where the differences are between actual and budgeted amounts, enabling management to investigate to determine the reasons for the variances.
What is the significance of investigating variances in budgeting?
Both favorable and unfavorable variances should be investigated. Investigating favorable variances can lead to process improvements throughout the organization; and investigating unfavorable variances can enable management to take corrective actions where necessary.
This process is part of the control loop in budgeting.
What factors should be considered when determining the significance of variances?